Direction of a research team focusing on the development and
the application of various learning algorithms to exploit many dataware houses
regarding the internal processes and client behaviors of a telecommunication
company. Problems tackled: fraud dectection, churning and traffic prediction.

Development of various machine learning and statistical models
that make predictions and take decisions on financial markets: portfolio
management, asset prediction, portfolio selection.
In an other project, development of a machine learning model that simulates
an agent on various types of auctions (buy at the best price given known
information).

Development and use of an Asynchronous Input/Output Hidden
Markov Model (which can also be viewed as a connectionist recurrent mixture
of experts) for speech recognition. This model was particularly well suited
for non-stationary temporal problems.